iris_deployment.ipynb
No Headings
The table of contents shows headings in notebooks and supported files.
- File
- Edit
- View
- Run
- Kernel
- Settings
- Help
Kernel status: Idle
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
[1]:
import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
[3]:
data = load_iris()
df = pd.DataFrame(data.data, columns=data.feature_names)
df['target'] = data.target
df
[3]:
| sepal length (cm) | sepal width (cm) | petal length (cm) | petal width (cm) | target | |
|---|---|---|---|---|---|
| 0 | 5.1 | 3.5 | 1.4 | 0.2 | 0 |
| 1 | 4.9 | 3.0 | 1.4 | 0.2 | 0 |
| 2 | 4.7 | 3.2 | 1.3 | 0.2 | 0 |
| 3 | 4.6 | 3.1 | 1.5 | 0.2 | 0 |
| 4 | 5.0 | 3.6 | 1.4 | 0.2 | 0 |
| ... | ... | ... | ... | ... | ... |
| 145 | 6.7 | 3.0 | 5.2 | 2.3 | 2 |
| 146 | 6.3 | 2.5 | 5.0 | 1.9 | 2 |
| 147 | 6.5 | 3.0 | 5.2 | 2.0 | 2 |
| 148 | 6.2 | 3.4 | 5.4 | 2.3 | 2 |
| 149 | 5.9 | 3.0 | 5.1 | 1.8 | 2 |
150 rows × 5 columns
[5]:
X = df.drop(columns=['target'])
y = df['target']
[9]:
DecisionTreeClassifier()In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
DecisionTreeClassifier()
2025-03-04 09:54:10.442
Warning: to view this Streamlit app on a browser, run it with the following
command:
streamlit run C:\Users\banda\anaconda3anocanda\Lib\site-packages\ipykernel_launcher.py [ARGUMENTS]
Common Tools
No metadata.
Advanced Tools
No metadata.
Anaconda Assistant
AI-powered coding, insights and debugging in your notebooks.
To enable the following extensions, create an account or sign in.
- Anaconda Assistant4.1.0
- Coming soon!
- Data Catalogs
- Panel Deployments
- Sharing
Already have an account? Sign In
For more information, read our Anaconda Assistant documentation.